Get full details for a specific Bazaar product by its slug identifier. Returns complete product description, price, file format, category, page count, and Stripe checkout URL for autonomous purchase. Supports x402 micropayment protocol for agent-initiated purchases.
AI agents call get_product_details to retrieve information from The Latent Space without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only query operation that fetches and returns product metadata. While the server context involves financial transactions (Latent Credits, Stripe), this specific tool only retrieves information; it does not execute payments, create charges, or modify any data. The Stripe checkout URL is returned as informational content, not invoked by the tool itself.
From the tool's definition Tool retrieves product information ('Get full details', 'Returns complete product description, price, file format, category, page count') with no modification or financial action—the checkout URL is merely returned as data, not executed by this tool.
Attacks that exploit this kind of access
Get full details for a specific Bazaar product by its slug identifier. Returns complete product description, price, file format, category, page count, and Stripe checkout URL for autonomous purchase. Supports x402 micropayment protocol for agent-initiated purchases. It is categorised as a Read tool in the The Latent Space MCP Server, which means it retrieves data without modifying state.
Register the The Latent Space MCP server in PolicyLayer and add a rule for get_product_details: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches The Latent Space. Nothing to install.
get_product_details is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_product_details rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for get_product_details. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
get_product_details is provided by the The Latent Space MCP server (paid-llc/paid-llc-website). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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